NEC has used Intel’s Arria 10 FPGA and Intel’s Xeon processor-based servers to develop a suite-of-products designed to spot out a face from a crowd.
The product is designed to assess photos from a number of different sources, including CCTV cameras, mobile video cameras or archived video footage. The system is designed to analyze still-frames, and at least 3.02 million images can be analyzed per second.
The products include:
NeoFace Watch integrates with existing video feeds to provide real-time analysis solutions. Faces are matched against an existing photo list and users are alerted in the instance a match is recognized.
NeoFace Reveal will be used for latent searches. The product is ideal for use in crime scenes, where photos and crime-scene videos can be used for later analysis.
NeoFace SmartID is the on-the-go version of the technology. This can be integrated with phones or tablets and access to a central database is possible.
NeoFace Match consists for the products core facial recognition technology including image processing, face detection, quality assessment, and matching.
Intel technology configuration used by NEC:
- NEC-branded card with FPGA, and Intel Enpirion power
- Intel® Xeon® processor Xeon E5-2697v4
- Intel® Arria® 10 FPGA (for the face detection engine)
- Intel® MAX® 10 FPGA (for configuration, field upgrade, power monitor/control)
- Intel® Enpirion® EM2130 (to power Arria 10 core)
- Intel® Enpirion® EN2342 (to power the IO and transceivers)
Face recognition technology has a number of applications.
- It can be used to identify suspicious-looking individuals in a crowd.
- It can be used to pin-point criminals who are a part of the Most Wanted List.
- And it can even be used to identify missing persons. Today, age progression pictures can effectively predict what someone looks like years after their disappearance.
Face recognition is already being used an effective security marker, but what makes NEC’s suite-of-products different from those already out in the market is that it can make use of low-quality images.
NEC can use compressed images, low-quality video feeds, and images with resolutions of up to 24 pixels between the eyes. NEC’s product-suite can effectively highlight a person of interest, especially from among a large group of individuals.
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